Analyzing the Impacts of Frequency and Severity of Forest Fire on the Recovery of Disturbed Forest using Landsat Time Series and EO-1 Hyperion in the Southern Brazilian Amazon

Abstract

ResumoA análise de bacias de drenagem, combinada com dados de sensoriamento remoto e cartográfi cos, fornece informações signifi cantes para o reconhecimento de lineamentos morfoestruturais e para a detecção de feições tectônicas com expressão na paisagem atual. Este procedimento foi aplicado no estudo de três bacias de drenagem do leste da Ilha do Marajó, correspondentes aos rios Arari, Camará e Paracauari. Todas estas bacias mostram evidências de anomalias morfoestruturais, incluindo-se principalmente: mudanças rápidas no padrão de drenagem dentro de uma mesma bacia, variando de treliça, retangular, multibacinal a subparalelo; canais retilíneos comumente conectados em ângulos retos; canais fortemente sinuosos que se tornam retilíneos; meandros localizados; e bacias altamente assimétricas. Anomalias de drenagem, consistindo em frequentes desvios de direção formando ângulos retos e meandros isolados e comprimidos, são também reconhecidas na paleodrenagem preservada neste setor da ilha. Com base na densidade dos lineamentos estruturais, pode-se reconhecer dois compartimentos morfoestruturais. O compartimento I é localizado na porção centro-leste da área de estudo, onde ocorre densidade de lineamento alta com duas direções preferenciais para NW-SE e NE-SW. O compartimento II, correspondente ao restante da área, apresenta densidade de lineamentos variando entre muito baixa a média e com orientação principal para NE-SW. As características morfoestruturais dos sistemas de drenagem atual e pretérita permitem sugerir área com forte controle tectônico. A deformação tectônica pode refl etir reativação de falhas de direções principais NW-SE e NE-SW, melhor registradas no compartimento I. Palavras-chave: lineamentos morfoestruturais, tectônica, Ilha do Marajó. AbstractAnalysis of drainage basins combining remote sensing and cartographic data provides signifi cant information for the recognition of morphostructural lineaments and for the detection of tectonic features expressed in the modern landscape. This approach was applied to study three drainage basins from eastern Marajó Island, corresponding to the Arari, Camará and Paracauari rivers. These basins show evidence of morphostructural anomalies, mainly including: rapid changes in patterns that range from trellis, rectangular, multibasin to sub-parallel; channels that are connected in straight angles; rapid changes from highly sinuous to straight channels; localized meandering; and highly asymmetric basins. Drainage anomalies consisting of frequent channel deviation forming straight angles, as well as isolated and compressed meanders, are also recognized in the paleodrainage preserved in this sector of the island. With basis on the density of morphostructural lineament, it was possible to recognize two morphostructural compartments. Compartment I is localized in the center-east

Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context

“…Post-disaster applications with Hyperion data showed high overall accuracies when monitoring post-fire vegetation degradation [170] and recovery [171]. S2 red-edge bands also allowed discriminating burn severities in Mediterranean forest ecosystems accurately [172].…”

“…This excludes crop, vegetation and disaster monitoring or disaster prevention (Table 4). However, post-disaster monitoring such as vegetation recovery after fire or pollution events is possible [170]. In bare areas, this revisit time allows geological applications, as well as applications related to the assessment of soil properties.…”

Fire Frequency and Related Land-Use and Land-Cover Changes in Indonesia’s Peatlands

“…Over the last two decades, fire events have become common. Several authors have investigated this fire activity and the underlying causes from social and political perspectives [9][10][11], but the effects of physical constraints on the spatial and temporal patterns of fire occurrence have been less studied [12], including the analysis of fire frequency itself.Fire frequency, one of the key components characterizing a fire regime, is mostly described in publications using fire-affected area or fire density (for e.g., [13,14], fire accumulation or occurrences [15], or annual mean frequency of fire [16]). The common landscape approach for quantifying fire frequency is to quantify how many times fire affects a given amount of area over a defined time period, instead of the probability of burning across the entire landscape.…”

Understanding fire patterns and fire drivers for setting a sustainable management policy of the New-Caledonian biodiversity hotspot

“…Indeed, NDII combines nearinfrared and short wave near-infrared bands and their sum relates to the canopy water content (Hunt et al, 2011); this has been used to map fire scars in a number of ecosystem types (e.g. Numata et al, 2011). (iii) A Landsat time series was used to detect the smallest fires and to cross-check fire boundaries at a 30-m spatial resolution.…”